아래와 같이 초청특강을 개최하오니 많은 참석 바랍니다.

1. 일시 : 2024년 5월 17일(금), 오후 4시 30분-

2. 장소 : 통계학과 스마트강의실 (자연대연구실험동 222호)

3. 연사 : 정힘찬 교수 (Simon Fraser University, Department of Statistics and Actuarial Science)

4. 연제 : Integration of traditional and telematics data for efficient insurance claims prediction

Abstract

   While driver telematics has gained attention for risk classification in auto insurance, scarcity of observations with telematics features has been problematic, which could be owing to either privacy concerns or favorable selection compared to the data points with traditional features. To handle this issue, we apply a data integration technique based on calibration weights for usage-based insurance with multiple sources of data. It is shown that the proposed framework can efficiently integrate traditional data and telematics data and can also deal with possible favorable selection issues related to telematics data availability. Our findings are supported by a simulation study and empirical analysis in a synthetic telematics dataset.